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"""Default configurations for sparsity modes."""

from pydantic import create_model

from modelopt.torch.opt.config import ModeloptBaseConfig, get_kwargs_for_create_model_with_rules

from .module import SpDMRegistry

SparseMagnitudeConfig = create_model(
    "SparseMagnitudeConfig",
    **get_kwargs_for_create_model_with_rules(
        registry=SpDMRegistry,
        default_rules={
            "nn.Linear": {"*": {}, "*lm_head*": None},
            "nn.Conv2d": {"*": {}, "*lm_head*": None},
        },
        doc='Configuration for the ``"sparse_magnitude"`` mode.',
    ),
)


SparseGPTConfig = create_model(
    "SparseGPTConfig",
    **get_kwargs_for_create_model_with_rules(
        registry=SpDMRegistry,
        default_rules={
            "nn.Linear": {"*": {}, "*lm_head*": None},
            "nn.Conv2d": {"*": {}, "*lm_head*": None},
        },
        doc='Configuration for the ``"sparse_gpt"`` mode.',
    ),
)


class ExportSparseConfig(ModeloptBaseConfig):
    """Configuration (empty!) for the ``"export_sparse"`` mode."""
